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Based on the information provided, it appears that your EC2 instance is likely being replaced by the Auto Scaling process, which explains the loss of your manually deployed code and the instance's disappearance from the load balancer target groups. This is a common scenario in environments using Auto Scaling, especially when instances are configured to be replaced periodically or in response to certain conditions.
To address your specific questions and concerns:
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Ephemeral Storage vs. EBS: The issue is not related to ephemeral storage. Your EBS volume is persistent, but when a new instance is launched by Auto Scaling, it starts with a fresh copy of the AMI, which doesn't include your manual deployments.
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AMI Implications: The AMI is likely the base image used by Auto Scaling to launch new instances. Any changes you make after the instance is launched (like installing Docker and deploying your code) are not part of this base image.
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Instance Replacement: Yes, it's highly probable that an automated process (Auto Scaling) is replacing the instance. This explains why your manual deployments are lost and why the instance disappears from the target groups.
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Best Practices: To ensure application code persists across instance replacements:
a. Update your AMI: Include Docker, Git, and your application code in the AMI itself. b. Use user data scripts: Configure the instance to pull and run your Docker container on launch. c. Implement a CI/CD pipeline: Automate the deployment process to ensure new instances are properly configured. d. Use ECS or EKS: These services can manage container deployments more effectively. e. Utilize persistent storage: Store important data on separate EBS volumes or use EFS for shared storage across instances.
The slowdown you observe before the deployment fails could be related to the instance being marked unhealthy by Auto Scaling, triggering a replacement.
To resolve this issue:
- Review your Auto Scaling configuration, including launch templates or launch configurations.
- Update your AMI or use user data scripts to automate the deployment process.
- Implement proper health checks to ensure instances are not replaced unnecessarily.
- Consider using AWS developer tools like CodeDeploy to manage application deployments in an Auto Scaling environment.
By implementing these practices, you can create a more robust and persistent deployment that survives instance replacements in your Auto Scaling group.
Sources
EC2 Instance Disappeared | AWS re:Post
EC2 Instance has disappeared | AWS re:Post
Beanstalk platform updates remove the instances from their load balancer target groups | AWS re:Post
ECS: Tasks deployed on a terminating EC2 instance | AWS re:Post
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